A set of examples using tensorflow for machine learning classification
Dataset originally taken from here. Full dataset available here.
To run, cd into india_foot_height and run python india_foot_height.py. It'll print out the value of the cost function on each iteration of training and in the end plot the fit function on the dataset.
Description of the dataset available here, and the actual dataset is available here.
To run, cd into iris-flower and run python iris-flower.py. It'll split the total dataset into training and test sets, train a neural network and then plot the value cost function over time.
A convolutional neural network for image classification, using a subset of the COIL-20 image dataset.
This is only using three classes from the COIL-20 dataset.